Oi-man Kwok

Teacher-student support, effortful engagement, and achievement: A 3-year longitudinal study

Measures of teacher-student relationship quality (TSRQ), effortful engagement, and achievement in reading and math were collected once each year for 3 consecutive years, beginning when participants were in 1st grade, for a sample of 671 (53.1% male) academically at-risk children attending 1 of 3 school districts in Texas. In separate latent variable structural equation models, the authors tested the hypothesized model, in which Year 2 effortful engagement mediated the association between Year 1 TSRQ and Year 3 reading and math skills. Conduct engagement was entered as a covariate in these analyses to disentangle the effects of effortful engagement and conduct engagement. Reciprocal effects of effortful engagement on TSRQ and of achievement on effortful engagement were also modeled. Results generally supported the hypothesized model. Year 1 variables had a direct effect on Year 3 variables, above year-to-year stability. Findings suggest that achievement, effortful engagement, and TSRQ form part of a dynamic system of influences in the early grades, such that intervening at any point in this nexus may alter childrens school trajectories.

Evaluating the impact of partial factorial invariance on selection in two populations.

Studies of factorial invariance examine whether a common factor model holds across multiple populations with identical parameter values. Partial factorial invariance exists when some, but not all, parameters are invariant. The literature on factorial invariance is unclear about what should be done if partial invariance is found. One approach to this problem evaluates the impact of partial invariance on accuracy of selection on the basis of a composite of the measures whose factor structure is being studied. Assuming a single-factor model holds, accuracy of selection using the composite is evaluated under varying degrees of partial invariance. A variety of examples are presented with discussion of extensions and limitations.

The family bereavement program: efficacy evaluation of a theory-based prevention program for parentally bereaved children and adolescents.

This article presents an experimental evaluation of the Family Bereavement Program (FBP), a 2-component group intervention for parentally bereaved children ages 8-16. The program involved separate groups for caregivers, adolescents, and children, which were designed to change potentially modifiable risk and protective factors for bereaved children. The evaluation involved random assignment of 156 families (244 children and adolescents) to the FBP or a self-study condition. Families participated in assessments at pretest, posttest, and 11-month follow-up. Results indicated that the FBP led to improved parenting, coping, and caregiver mental health and to reductions in stressful events at posttest. At follow-up, the FBP led to reduced internalizing and externalizing problems, but only for girls and those who had higher problem scores at baseline.

Indexing Response to Intervention A Longitudinal Study of Reading Risk From Kindergarten Through Third Grade

In this study, response to intervention and stability of reading performance of 41 kindergarten children identified as at risk of reading difficulty were evaluated from kindergarten through third grade. All students were assessed in the fall of each academic year to evaluate need for intervention, and students who fell below the 30th percentile on criterion measures received small-group supplemental intervention. Measures included a combination of commercial normative referenced measures and specific skill and construct measures to assess growth or change in reading risk status relative to 30th percentile benchmarks. Results indicated that consistent with the findings of prior research involving students with comparable entry-level performance, the majority of children identified as at risk in the beginning of kindergarten responded early and positively to intervention. On average, absolute performance levels at the end of kindergarten positioned students for trajectories of later reading performance that exceeded the 50th percentile on the majority of measures. Moreover, changes in risk status that occurred early were generally sustained over time. Only oral reading fluency performance failed to exceed the 30th percentile for the majority of students.

Putting Wilson and Cleary to the test: analysis of a HRQOL conceptual model using structural equation modeling

Wilson and Cleary (1995) proposed a conceptual model of health-related quality of life (HRQOL) that integrates both biological and psychological aspects of health outcomes. There are five different levels in their model, namely, physiological factors, symptom status, functional health, general health perceptions, and overall quality of life. Their model has been widely applied to different populations, including patients living with cancer, Parkinson’s disease, arthritis, and HIV+/AIDS. However, their conceptual model has only been partially examined. That is, the five major concepts have not been examined simultaneously. Using structural equation modeling (SEM), the Wilson and Cleary HRQOL model was validated in patients living with HIV from the AIDS Time-Oriented Health Outcomes Study. The results showed that the HRQOL model fit the data adequately, and the relationships between the constructs were all significant (at p<0.05 level). Based on the modification indexes, an alternative model linking symptom status directly with general health perceptions and overall quality of life was specified. Implication and limitation of the findings are discussed.

National Prevalence Rates of Bully Victimization Among Students With Disabilities in the United States

This study examined the prevalence rates of bully victimization and risk for repeated victimization among students with disabilities using the Special Education Elementary Longitudinal Study and the National Longitudinal Transition Study-2 longitudinal datasets. Results revealed that a prevalence rate ranging from 24.5% in elementary school to 34.1% in middle school. This is one to one and a half times the national average for students without disabilities. The rate of bully victimization was highest for students with emotional disturbance across school levels. Findings from this study also indicated that students with disabilities who were bullied once were at high risk of being bullied repeatedly. Elementary and middle school students with autism and high school students with orthopedic impairments were at the greatest risk of experiencing repeated victimization. Implications of the findings are discussed.

Dynamics of teacher–student relationships: Stability and change across elementary school and the influence on children’s academic success

This study modeled teacher-student relationship trajectories throughout elementary school to predict gains in achievement in an ethnic-diverse sample of 657 academically at-risk students (mean age = 6.57 years, SD = .39). Teacher reports of warmth and conflict were collected in Grades 1-5. Achievement was tested in Grades 1 and 6. For conflict, low-stable (normative), low-increasing, high-declining, and high-stable trajectories were found. For warmth, high-declining (normative) and low-increasing patterns were found. Children with early behavioral, academic, or social risks were underrepresented in the normative trajectory groups. Chronic conflict was most strongly associated with underachievement. Rising conflict but not declining Conflict coincided with underachievement. The probability of school failure increased as a function of the timing and length of time children were exposed to relational adversity.

Teacher student relationship quality type in elementary grades: Effects on trajectories for achievement and engagement

Teacher, peer, and student reports of the quality of the teacher-student relationship were obtained for an ethnically diverse and academically at-risk sample of 706 second- and third-grade students. Cluster analysis identified four types of relationships based on the consistency of child reports of support and conflict in the relationship with reports of others: Congruent Positive, Congruent Negative, Incongruent Child Negative, and Incongruent Child Positive. The cluster solution evidenced good internal consistency and construct validity. Group membership predicted growth trajectories for teacher-rated engagement and standardized achievement scores over the following three years, above prior performance. The predictive associations between child reports of teacher support and conflict and the measured outcomes depended on whether child reports were consistent or inconsistent with reports of others. Study findings have implications for theory development, assessment of teacher-student relationships, and teacher professional development.

The Impact of Misspecifying the Within-Subject Covariance Structure in Multiwave Longitudinal Multilevel Models: A Monte Carlo Study

This Monte Carlo study examined the impact of misspecifying the 𝚺 matrix in longitudinal data analysis under both the multilevel model and mixed model frameworks. Under the multilevel model approach, under-specification and general-misspecification of the 𝚺 matrix usually resulted in overestimation of the variances of the random effects (e.g., τ00, ττ11 ) and standard errors of the corresponding growth parameter estimates (e.g., SEβ 0, SEβ 1). Overestimates of the standard errors led to lower statistical power in tests of the growth parameters. An unstructured 𝚺 matrix under the mixed model framework generally led to underestimates of standard errors of the growth parameter estimates. Underestimates of the standard errors led to inflation of the type I error rate in tests of the growth parameters. Implications of the compensatory relationship between the random effects of the growth parameters and the longitudinal error structure for model specification were discussed.

Multilevel Modeling: Current and Future Applications in Personality Research

Traditional statistical analyses can be compromised when data are collected from groups or multiple observations are collected from individuals. We present an introduction to multilevel models designed to address dependency in data. We review current use of multilevel modeling in 3 personality journals showing use concentrated in the 2 areas of experience sampling and longitudinal growth. Using an empirical example, we illustrate specification and interpretation of the results of series of models as predictor variables are introduced at Levels 1 and 2. Attention is given to possible trends and cycles in longitudinal data and to different forms of centering. We consider issues that may arise in estimation, model comparison, model evaluation, and data evaluation (outliers), highlighting similarities to and differences from standard regression approaches. Finally, we consider newer developments, including 3-level models, cross-classified models, nonstandard (limited) dependent variables, multilevel structural equation modeling, and nonlinear growth. Multilevel approaches both address traditional problems of dependency in data and provide personality researchers with the opportunity to ask new questions of their data.